Vikas Hassija

National University of Singapore

Papers

1

Total Citations

275

H-Index

1

About

Vikas Hassija is a leading researcher at the forefront of trustworthy and explainable artificial intelligence (XAI), with a particular focus on the security, transparency, and ethical deployment of AI systems. His most-cited work, the 2023 review "A Review of Trustworthy and Explainable Artificial Intelligence (XAI)," has garnered over 275 citations, establishing a foundational framework for understanding how to make AI systems both reliable and interpretable. Hassija’s major contribution lies in systematically identifying vulnerabilities—such as security attacks and algorithmic bias—that threaten the safe integration of AI into critical human-facing applications. By mapping out the landscape of explainability techniques and trustworthiness metrics, his research provides a crucial roadmap for developing AI that is not only powerful but also accountable. This work is particularly impactful for students and researchers navigating the ethical challenges of modern AI, as it bridges the gap between technical robustness and human safety. Hassija’s scholarship is widely recognized for its clarity and depth, making him a key voice in the movement toward responsible AI innovation.

Research Focus

Key Achievements

1
H-Index
1
Papers
275
Total Citations
275
Avg Citations/Paper
🏆 Most Cited Paper
A Review of Trustworthy and Explainable Artificial Intelligence (XAI)
275 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: National University of Singapore

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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